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A Data-based Protocol for One-way Trust in Inter-vehicular Communication

Published: 26 April 2021 Publication History

Abstract

As autonomous vehicles fill the roads and more manufacturers join the trend, the need for a unified communication protocol grows. Current paradigms in vehicle-to-vehicle communication are too slow to provide accurate and meaningful traffic data in a timely fashion, and it is difficult to trust that incoming data is correct without an authoritative server verifying the sender's identity. This paper introduces a protocol for peer-to-peer exchanges of positional data that determines the trust level of a particular message by comparing matching object data hashes. Similar in concept to non-interactive zero-knowledge proofs, the design retains the privacy and anonymity of senders and is relatively fast compared to certificate-based solutions under a reasonable traffic load. Our preliminary experiment shows promising results, with much faster runtimes compared to similar cryptographic solutions. Although the current implementation is still rough around the edges, the basic design can provide the groundwork for future paradigms in inter-vehicular communication without depending on expensive cryptographic operations performed on special or more powerful hardware. This opens doors for protocols that can be run on current vehicles without requiring the collective processing power of all vehicles to increase.

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MP4 File (SAT-CPS21-SaT016s.mp4)
Presentation video for "A Data-based Protocol for One-way Trust in Inter-vehicular Communication," a short paper describing a fast, privacy-preserving protocol for determining message trust in inter-vehicular communications.

References

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TCITS ETSI. 2009. Intelligent transport systems (ITS); vehicular communications; basic set of applications; definitions. Technical Report ETSI TR 102 6382009. European Telecommunication Standards Institute.
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Liting Huang. 2012. Secure and privacy-preserving broadcast authentication for IVC. Master's thesis. University of Twente.
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Dinesh V. Jamthe, D. B. Khadse, and Yashwant Malode. 2016. Security Requirements for IVC Network. International Research Journal of Engineering and Technology (IRJET), Vol. 3, 2 (2016).
[4]
Gregory Neven, Gianmarco Baldini, Jan Camenisch, and Ricardo Neisse. 2017. Privacy-preserving attribute-based credentials in cooperative intelligent transport systems. In 2017 IEEE Vehicular Networking Conference (VNC). IEEE, 131--138.
[5]
Philipp Wex, Jochen Breuer, Albert Held, Tim Leinmuller, and Luca Delgrossi. 2008. Trust issues for vehicular ad hoc networks. In VTC Spring 2008-IEEE Vehicular Technology Conference. IEEE, 2800--2804.
[6]
Han Yiliang, Lin Xi, Jiang Di, and Fang Dingyi. 2017. Attribute-based authenticated protocol for secure communication of VANET. In 2017 29th Chinese Control And Decision Conference (CCDC). IEEE, 4078--4081.
[7]
Leyou Zhang, Jun Wang, and Yi Mu. 2020. Secure and Privacy-Preserving Attribute-Based Sharing Framework in Vehicles Ad Hoc Networks. IEEE Access, Vol. 8 (2020), 116781--116795.

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cover image ACM Conferences
SAT-CPS '21: Proceedings of the 2021 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems
April 2021
116 pages
ISBN:9781450383196
DOI:10.1145/3445969
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 April 2021

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Author Tags

  1. anonymity
  2. autonomous vehicles
  3. communication protocols
  4. inter-vehicular communication
  5. trust management

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CODASPY '21
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